Linear mixed models for longitudinal data
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Author
Contributions
- Molenberghs, Geert. - Contributor
Publication
2000 - Springer, New York, New York (State)
Language
English
Word Count
142,000 words, Guess
Page Count
568 pages
Identifiers
- Open LibraryOL18140670M
- ISBN-100387982221
- OCLC Control Number43615499
- OCLC Control Number36908881
- OCLC Control Numberlinearmixedmodel00verb
and 3 more
- Library of Congress Control Number00026596
- LibraryThing6720679
- Goodreads6108682
Classifications
- LCCQA279 .V458 2000
Description
"This book provides a comprehensive treatment of linear mixed models, a technique devised to analyze continuous correlated data. It focuses on examples from designed experiments and longitudinal studies. The target audience includes applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematically rigorous. Although most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated, considerable effort was spent in presenting the data analyses in a software-independent fashion."--BOOK JACKET.
Subjects
Topics
Series Statement
- Springer series in statistics
Other Editions
- Linear mixed models for longitudinal data
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